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Microsoft Certification
AI Engineer Associate

Azure AI Engineer Associate(AI-102)

Master Microsoft Azure AI services with our comprehensive certification path. The Azure AI Engineer Associate certification validates your skills in building, managing, and deploying AI solutions using Azure AI services, including generative AI, computer vision, natural language processing, and knowledge mining.

AI-Powered

Personal Learning

Expert-Verified

Practice Questions

Comprehensive

AI Coverage

Intelligent Practice Platform: Focused quizzes, live feedback, and performance insights - all powered by AI.

Zertly adapts to your progress, targeting weak spots with the right questions and crystal-clear explanations.

Exam Duration

100 minutes

Exam Cost

$165 USD

Questions

40-60 Questions

Why Choose Zertly for Your AI Journey?

Master Azure AI services with our specialized platform designed for AI engineers and developers.

AI-Powered Generative Practice

Master OpenAI and generative AI concepts with adaptive questions that evolve with your understanding.

Multi-Domain Analytics

Track your performance across all six AI domains with comprehensive insights and progress tracking.

Practical AI Scenarios

Practice real-world AI implementation scenarios including RAG, agents, and enterprise deployments.

Comprehensive AI Coverage

Complete coverage of Azure AI services from computer vision to natural language processing.

AI-102 Exam Domains

Master all six domains of Azure AI engineering with comprehensive coverage and hands-on practice.

Plan and manage an Azure AI solution

20-25%
Select appropriate Azure AI Foundry services
Select appropriate service for generative AI solutions
Select appropriate service for computer vision solutions
Select appropriate service for natural language processing
Select appropriate service for speech solutions
Plan and configure Azure AI security and compliance

Implement generative AI solutions

15-20%
Implement and deploy Azure OpenAI models
Configure and optimize Azure OpenAI prompt engineering
Implement retrieval-augmented generation (RAG) solutions
Implement Azure AI safety and responsible AI practices
Optimize generative AI model performance and costs

Implement an agentic solution

5-10%
Create custom agents with Azure AI Foundry Agent Service
Implement complex agents with Semantic Kernel and Autogen
Implement multi-agent workflows and orchestration
Test, optimize and deploy agent solutions
Configure agent conversations and interactions

Implement computer vision solutions

10-15%
Implement Azure Computer Vision service solutions
Implement custom vision models with Azure AI Vision
Implement optical character recognition (OCR) solutions
Implement facial recognition and analysis solutions
Implement object detection and image classification
Implement video analysis and content moderation

Implement natural language processing solutions

15-20%
Implement Azure AI Language service solutions
Implement text analytics and sentiment analysis
Implement conversational AI with Azure Bot Framework
Implement language understanding with LUIS
Implement text translation and language detection
Implement speech-to-text and text-to-speech solutions

Implement knowledge mining and information extraction

15-20%
Implement Azure AI Search solutions
Create and configure search indexes and skillsets
Implement custom skills and cognitive search pipelines
Implement semantic and vector search capabilities
Manage knowledge store projections
Implement document intelligence and form recognition

Key Azure AI Services

Essential Azure AI services and technologies covered in the AI-102 certification exam.

Azure OpenAI Service

Generative AI

Azure AI Foundry

Platform

Azure Computer Vision

Vision

Azure AI Language

Language

Azure AI Search

Search

Azure Bot Framework

Conversational AI

Azure Cognitive Services

AI Services

Azure Machine Learning

ML Platform

Azure Form Recognizer

Document AI

Azure Speech Services

Speech

Azure Video Analyzer

Video AI

Azure Content Moderator

Content Safety

Azure Translator

Translation

Azure LUIS

Language Understanding

Semantic Kernel

Agent Framework

Azure AI Safety

Responsible AI

Azure Prompt Flow

LLM Orchestration

Azure Vector Search

Vector Database

Azure AI Studio

Development Environment

Azure Content Safety

AI Safety

Note: This certification focuses on practical implementation of these services in real-world AI solutions.

Expert Preparation Tips

Proven strategies to master Azure AI concepts and excel in the AI-102 exam.

Hands-On Practice

Build practical AI solutions using Azure OpenAI Service and other AI services

Practice implementing RAG solutions and agent workflows

Experiment with computer vision and natural language processing APIs

Implement search and knowledge mining solutions using Azure AI Search

Study Strategy

Focus on understanding when to use each Azure AI service

Practice prompt engineering and responsible AI principles

Master security configuration and compliance requirements

Understand deployment patterns and optimization techniques

Frequently Asked Questions

Everything you need to know about the Azure AI Engineer Associate certification.

What experience should I have before taking the AI-102 exam?

Candidates should have experience building, managing, and deploying AI solutions that leverage Azure AI. This includes understanding of AI concepts, experience with Azure AI services, and familiarity with software development concepts. Programming experience in Python or C# is recommended, along with understanding of REST APIs and JSON.

What is the exam format for AI-102?

The AI-102 exam consists of 40-60 questions which must be completed in 100 minutes. Question formats include multiple choice, multiple answer, case studies, drag and drop, and hot area. The passing score is 700 out of 1000 points.

How does the AI-102 differ from other Azure AI certifications?

AI-102 is a role-based certification focused on implementing AI solutions using Azure AI services. It covers practical implementation of generative AI, computer vision, natural language processing, and knowledge mining solutions, making it ideal for AI engineers and developers working with Azure AI technologies.

What Azure AI services are covered in the AI-102 exam?

The exam covers Azure OpenAI Service, Azure AI Foundry, Computer Vision, AI Language, AI Search, Bot Framework, Form Recognizer, Speech Services, and various other Azure AI services. You'll need hands-on experience with these services and understanding of when to use each one.

How does Zertly help me prepare for the Azure AI Engineer exam?

Zertly provides AI-powered practice questions specifically designed for AI-102, covering all exam domains with detailed explanations. Our platform includes practical scenarios, generative AI implementation questions, and comprehensive study materials to help you master Azure AI services efficiently.

Ready to Master Azure AI?

Join thousands of successful AI engineers who have passed their AI-102 certification with Zertly's comprehensive preparation platform.

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